Even Fibonacci Numbers
Each new term in the Fibonacci sequence is generated by adding the previous two terms. By starting with 1 and 2, the first 10 terms will be:
By considering the terms in the Fibonacci sequence whose values do not exceed four million, find the sum of the even-valued terms.
Implementations
#include <iostream>int main(int argc, char* argv[]){ unsigned long long sum = 0; unsigned long long a = 1, b = 2; while (b <= 4000000) { if (b % 2 == 0) { sum += b; } unsigned long long temp = a + b; a = b; b = temp; } std::cout << sum << std::endl; return 0;}Solution Notes
Mathematical Background
The Fibonacci sequence is defined by the recurrence relation with initial conditions , . The sequence exhibits interesting properties regarding parity (even/odd distribution).
A key mathematical insight is that every third Fibonacci number is even. This occurs because:
- (odd)
- (even)
- (odd)
- (odd)
- (even)
- (odd)
This pattern continues: odd + odd = even, odd + even = odd, even + odd = odd, establishing the cycle every three terms.
Algorithm Analysis
The implementations use an iterative approach to generate Fibonacci numbers and sum the even terms. This has O(n) time complexity where n is the number of Fibonacci terms below 4,000,000.
A more mathematically sophisticated approach recognizes that even Fibonacci numbers follow the sequence where each term is . This allows direct computation of even terms without checking parity.
The closed-form solution using the golden ratio gives the nth Fibonacci number as , though floating-point precision limits practical use for large n.
Key Insights
- The iterative approach is simple and efficient for the given constraint (terms ≤ 4,000,000)
- Every third Fibonacci number is even, enabling optimization for larger limits
- The sequence grows exponentially, reaching 4 million around the 33rd term
- Integer overflow becomes a concern in languages with fixed-size integers (like 32-bit int)
- The pattern of even terms reveals deeper mathematical structure in the Fibonacci sequence
Educational Value
This problem introduces fundamental concepts in:
- Sequence generation and recurrence relations
- Pattern recognition in mathematical sequences
- The importance of understanding number properties (parity)
- Algorithm design choices between simplicity and mathematical optimization
- Handling large numbers and overflow considerations in different programming languages
- The connection between simple iterative solutions and underlying mathematical structure